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Record W7117585991 · doi:10.3329/nimcj.v16i1.86515

Medical College Student’s Knowledge, Attitude, and Practice Regarding Organ Donation - A Multi Centre Study B H

2025· article· W7117585991 on OpenAlexaff
B H N Yasmeen, Md Tahmidul Islam, Farzana Rahman Chowdhury, Shaila Mahmud, Zakia Sultana Shahid, Salma Parvin, Md Abbas Uddin Khan, Gazi Salauddin, Lamia Sarker, Ishrat Jahan

Bibliographic record

VenueNorthern International Medical College Journal · 2025
Typearticle
Language
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsHeritage Medical Research Clinic
Fundersnot available
KeywordsOrgan donationNonprobability samplingData collectionOrgan transplantationPopulationDonationClinical PracticeSample (material)

Abstract

fetched live from OpenAlex

Background: Organ donation is the process of retrieving healthy organs and tissues from a living or deceased person for transplantation into another individual in need. It plays a vital role in saving lives and improving the quality of life for patients suffering from organ failure such as kidney, liver or heart. Methods: This descriptive cross-sectional study was conducted from 21st to 31st October 2024 among final-year students of Anwar Khan Modern Medical College (AKMMC), Green Life Medical College (GLMC), and Northern International Medical College (NIMC). The knowledge, attitude, and practice (KAP) of the students regarding organ donation were assessed using 10 questions on knowledge, 10 on attitude, and 6 on practice, assigning a score of 1 for each correct response and 0 for each incorrect response. Purposive sampling technique was used for data collection and the final sample size was 261. The data were analysed via SPSS (version 25.0) p < 0.05 was considered statistically significant. Results: The study population included 61.3% females and 38.7% males with a mean±SD age of 24.5±1.5 years. AKMMC represented almost half of the participants (48.3%), while GLMC and NIMC accounted for 31.4% and 20.3% of the participants, respectively. The majority of the participants (88.9%) were from urban areas, while only 11.1% were from rural areas. Association between gender and participants’ knowledge regarding organ donation was significant (p = 0.02), while their attitude towards and practice regarding organ donation was not significant (p> 0.05). Females were more knowledgeable than male. Association between medical college and participants’ knowledge, attitude, and practice regarding organ donation was not significant (p > 0.05). Association between residence and participants’ knowledge and practice regarding organ donation was significant (p = 0.01), while their attitude towards organ donation was not significant (p > 0.05) Conclusion : The results of our study revealed that the majority of the participants had a satisfactory level of knowledge, showed a positive attitude, but had poor practice regarding organ donation. The majority first heard about organ donation from the internet and were aware that kidney, liver, heart, lung, cornea and bone can be donated. As most of the participants lacked knowledge about ‘The Human Organ Transplantation Act’ of Bangladesh, awareness programs and activities should be arranged to discuss its details. Northern International Medical College Journal Vol. 16 No. 1-2 July 2024-January 2025, Page 706-711

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.370
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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